Approach for solving global optimization problem
AssigneeEmpire Technology Development LLC
InventorAnanth Seshan
Life of this patent
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Abstract
An approach for solving a global optimization problem is described. Specifically, one embodiment of the disclosure sets forth a method, which includes the steps of receiving a quantitative initial solution, generating a quantitative feasible solution, mapping the quantitative feasible solution to a qualitative feasible solution, determining whether to accept the qualitative feasible solution based on a first predetermined rule, wherein the qualitative feasible solution that is accepted is reverse mapped to the quantitative feasible solution, and transmitting a result of the determining step.
Claims17
A method for solving a global optimization problem, comprising:
- receiving a quantitative initial solution;
- generating a quantitative feasible solution;
- consolidating a plurality of constraints of the quantitative feasible solution to a numerical resultant;
- converting the numerical resultant to a qualitative feasible solution;
- and
- determining whether to accept the qualitative feasible solution based on a first predetermined rule, wherein the qualitative feasible solution that is accepted is reverse mapped to the quantitative feasible solution.
A computing device configured to solve a global optimization problem, comprising:
- a memory;
- and
- a processing unit arranged to interface with the memory, wherein the processing unit is configured to:
- receive a quantitative initial solution;
- generate a quantitative feasible solution;
- consolidate a plurality of constraints of the quantitative feasible solution to a numerical resultant;
- convert the numerical resultant to a qualitative feasible solution;
- and
- determine whether to accept the qualitative feasible solution based on a first predetermined rule, wherein the qualitative feasible solution that is accepted is reverse mapped to the quantitative feasible solution.
A non-transitory computer-readable medium containing a sequence of instructions for solving a global optimization problem, which when executed by a computing device, causes the computing device to:
- receive a quantitative initial solution;
- generate a quantitative feasible solution;
- consolidate a plurality of constraints of the quantitative feasible solution to a numerical resultant;
- convert the numerical resultant to a qualitative feasible solution;
- and
- determine whether to accept the qualitative feasible solution based on a first predetermined rule, wherein the qualitative feasible solution that is accepted is reverse mapped to the quantitative feasible solution.
Dependencies are inferred from the claim text.